Business analytics for managers: taking business intelligence beyond reporting
"The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field B...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken
Wiley
[2017]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Wiley & SAS business series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning." |
| Beschreibung: | Revised edition of the authors's Business analytics for managers. - Includes index |
| ISBN: | 9781119298588 |
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Datensatz im Suchindex
| _version_ | 1804177026409562112 |
|---|---|
| adam_text | Titel: Business analytics for managers
Autor: Laursen, Gert H.N
Jahr: 2017
Contents
Foreword xi
introduction xiii
What Is the Scope of Business Analytics? Information
Systems—Not Technical Solutions xvii
Purpose and Audience xix
Organization of Chapters xxiii
Why the Term Business Analytics? xxiv
Chapter 1 The Business Analytics Model 1
Overview of the Business Analytics Model 2
Strategy Creation 4
Business Processes and Information Use 4
Types of Reporting and Analytical Processes 5
Data Warehouse 5
Data Sources: IT Operations and Development 5
Deployment of the Business Analytics Model 6
Case Study: How to Make an Information Strategy
for a Radio Station 6
Summary 13
Chapter 2 Business Analytics at the Strategic Level 17
Link between Strategy and the Deployment of Business
Analytics 19
Strategy and Business Analytics: Four Scenarios 20
Scenario 1: No Formal Link between Strategy
and Business Analytics 22
Scenario 2: Business Analytics Supports Strategy
at a Functional Level 24
Scenario 3: Dialogue between the Strategy and the
Business Analytics Functions 28
Scenario 4: Information as a Strategic Resource 30
Which Information Do We Prioritize? 32
The Product and Innovation Perspective 34
Customer Relations Perspective 38
The Operational Excellence Perspective 42
Summary 44
VII
VÜi »CONTENTS
Chapter 3 Development and Deployment of Information
at the Functional Level 47
Case Study: A Trip to the Summerhouse 50
Specification of Requirements 51
Technical Support 52
Off We Go to the Summerhouse 53
Lead and Lag Information 54
More about Lead and Lag Information 57
Establishing Business Processes with the Rockart Model 59
Example: Establishing New Business Processes with the
Rockart Model 61
Level 1: Identifying the Objectives 62
Level 2: Identifying an Operational Strategy 62
Level 3: Identifying the Critical Success Factors 64
Level 4: Identifying Lead and Lag Information 66
Optimizing Existing Business Processes 72
Example: Deploying Performance Management
to Optimize Existing Processes 73
Concept of Performance Management 74
Which Process Should We Start With? 78
Customer Relationship Management Activities 80
Campaign Management 84
Product Development 85
Web Log Analyses 86
Pricing 89
Human Resource Development 91
Corporate Performance Management 93
Finance 94
Inventory Management 95
Supply Chain Management 95
Lean 97
A Catalogue of Ideas with Key Performance Indicators
for the Company s Different Functions 99
Summary 101
Chapter 4 Business Analytics at the Analytical Level 103
Data, Information, and Knowledge 106
Analyst s Role in the Business Analytics Model 107
Three Requirements the Analyst Must Meet 109
Business Competencies 110
Tool Kit Must Be in Order (Method Competencies) 111
Technical Understanding (Data Competencies) 112
Required Competencies for the Analyst 113
CONTENTS i JX
Analytical Methods (Information Domains) 113
How to Select the Analytical Method 114
The Three Imperatives 116
Descriptive Statistical Methods, Lists, and Reports 122
Hypothesis-Driven Methods 129
Tests with Several Input Variables 130
Data Mining with Target Variables 133
Data Mining Algorithms 139
Explorative Methods 140
Data Reduction 141
Cluster Analysis 141
Cross-Sell Models 142
Up-Sell Models 143
Business Requirements 143
Definition of the Overall Problem 144
Definition of Delivery 144
Definition of Content 145
Summary 147
Chapter 5 Business Analytics at the Data Warehouse
Level 149
Why a Data Warehouse? 151
Architecture and Processes in a Data Warehouse 154
Selection of Certain Columns To Be Loaded 156
Staging Area and Operational Data Stores 158
Causes and Effects of Poor Data Quality 159
The Data Warehouse: Functions, Components,
and Examples 162
Alternative Ways of Storing Data 170
Business Analytics Portal: Functions and Examples 171
Tips and Techniques in Data Warehousing 175
Master Data Management 175
Service-Oriented Architecture 176
How Should Data Be Accessed? 177
Access to Business Analytics Portals 178
Access to Data Mart Areas 180
Access to Data Warehouse Areas 181
Access to Source Systems 182
Summary 183
Chapter 6 The Company s Collection of Source Data 185
What Are Source Systems, and What Can They Be
Used For? 187
Which Information Is Best to Use for Which Task? 192
X »CONTENTS
When There Is More Than One Way to Get the Job Done 194
When the Quality of Source Data Fails 197
Summary 198
Chapter 7 Structuring of a Business Analytics
Competency Center 199
What Is a Business Analytics Competency Center? 201
Why Set Up a Business Analytics Competency Center? 202
Tasks and Competencies 203
Establishing an Information Wheel 203
Creating Synergies between Information Wheels 205
Educating Users 207
Prioritizing New Business Analytics Initiatives 208
Competences 208
Centralized or Decentralized Organization 208
Strategy and Performance 210
When the Analysts Report to the IT Department 213
When Should a Business Analytics Competency Center
Be Established? 215
Applying the Analytical Factory Approach 217
Summary 219
Chapter 8 Assessment and Prioritization of Business
Analytics Projects 221
Is It a Strategic Project or Not? 222
Uncovering the Value Creation of the Project 224
When Projects Run Over Several Years 230
When the Uncertainty Is Too Big 232
The Descriptive Part of the Cost/Benefit Analysis
for the Business Case 233
The Cost/Benefit Analysis Used for the Business Case 235
Projects as Part of the Bigger Picture 235
Case Study on How to Make an Information
Strategy Roadmap 240
Summary 243
Chapter 9 Business Analytics in the Future 247
About the Authors 255
index 257
|
| any_adam_object | 1 |
| author | Laursen, Gert H.N Thorlund, Jesper |
| author_facet | Laursen, Gert H.N Thorlund, Jesper |
| author_role | aut aut |
| author_sort | Laursen, Gert H.N |
| author_variant | g h l gh ghl j t jt |
| building | Verbundindex |
| bvnumber | BV044025864 |
| classification_rvk | ST 530 |
| contents | The Business Analytics Model -- Business Analytics at the Strategic Level -- Development and Deployment of Information at the Functional Level -- Business Analytics at the Analytical Level -- Business Analytics at the Data Warehouse Level -- The Company's Collection of Source Data -- Structuring of a Business Analytics Competency Center -- Assessment and Prioritization of Business Analytics Projects -- Business Analytics in the Future |
| ctrlnum | (OCoLC)974720985 (DE-599)BVBBV044025864 |
| dewey-full | 658.4/033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | Second edition |
| format | Book |
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| spelling | Laursen, Gert H.N. aut Business analytics for managers taking business intelligence beyond reporting Gert H. N. Laursen, Jesper Thorlund Second edition Hoboken Wiley [2017] txt rdacontent n rdamedia nc rdacarrier Wiley & SAS business series Revised edition of the authors's Business analytics for managers. - Includes index The Business Analytics Model -- Business Analytics at the Strategic Level -- Development and Deployment of Information at the Functional Level -- Business Analytics at the Analytical Level -- Business Analytics at the Data Warehouse Level -- The Company's Collection of Source Data -- Structuring of a Business Analytics Competency Center -- Assessment and Prioritization of Business Analytics Projects -- Business Analytics in the Future "The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning." BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Business intelligence fast BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Wirtschaft Business intelligence Unternehmensarchitektur (DE-588)7856257-0 gnd rswk-swf Business Intelligence (DE-588)4588307-5 gnd rswk-swf Wirtschaftsspionage (DE-588)4139137-8 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf Business Intelligence (DE-588)4588307-5 s Big Data (DE-588)4802620-7 s Unternehmensarchitektur (DE-588)7856257-0 s DE-604 Wirtschaftsspionage (DE-588)4139137-8 s Datenmanagement (DE-588)4213132-7 s 1\p DE-604 Thorlund, Jesper aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029433296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Laursen, Gert H.N Thorlund, Jesper Business analytics for managers taking business intelligence beyond reporting The Business Analytics Model -- Business Analytics at the Strategic Level -- Development and Deployment of Information at the Functional Level -- Business Analytics at the Analytical Level -- Business Analytics at the Data Warehouse Level -- The Company's Collection of Source Data -- Structuring of a Business Analytics Competency Center -- Assessment and Prioritization of Business Analytics Projects -- Business Analytics in the Future BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Business intelligence fast BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Wirtschaft Business intelligence Unternehmensarchitektur (DE-588)7856257-0 gnd Business Intelligence (DE-588)4588307-5 gnd Wirtschaftsspionage (DE-588)4139137-8 gnd Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd |
| subject_GND | (DE-588)7856257-0 (DE-588)4588307-5 (DE-588)4139137-8 (DE-588)4802620-7 (DE-588)4213132-7 |
| title | Business analytics for managers taking business intelligence beyond reporting |
| title_auth | Business analytics for managers taking business intelligence beyond reporting |
| title_exact_search | Business analytics for managers taking business intelligence beyond reporting |
| title_full | Business analytics for managers taking business intelligence beyond reporting Gert H. N. Laursen, Jesper Thorlund |
| title_fullStr | Business analytics for managers taking business intelligence beyond reporting Gert H. N. Laursen, Jesper Thorlund |
| title_full_unstemmed | Business analytics for managers taking business intelligence beyond reporting Gert H. N. Laursen, Jesper Thorlund |
| title_short | Business analytics for managers |
| title_sort | business analytics for managers taking business intelligence beyond reporting |
| title_sub | taking business intelligence beyond reporting |
| topic | BUSINESS & ECONOMICS / Decision-Making & Problem Solving bisacsh Business intelligence fast BUSINESS & ECONOMICS / Industrial Management bisacsh BUSINESS & ECONOMICS / Management bisacsh BUSINESS & ECONOMICS / Management Science bisacsh BUSINESS & ECONOMICS / Organizational Behavior bisacsh Wirtschaft Business intelligence Unternehmensarchitektur (DE-588)7856257-0 gnd Business Intelligence (DE-588)4588307-5 gnd Wirtschaftsspionage (DE-588)4139137-8 gnd Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd |
| topic_facet | BUSINESS & ECONOMICS / Decision-Making & Problem Solving Business intelligence BUSINESS & ECONOMICS / Industrial Management BUSINESS & ECONOMICS / Management BUSINESS & ECONOMICS / Management Science BUSINESS & ECONOMICS / Organizational Behavior Wirtschaft Unternehmensarchitektur Business Intelligence Wirtschaftsspionage Big Data Datenmanagement |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029433296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT laursengerthn businessanalyticsformanagerstakingbusinessintelligencebeyondreporting AT thorlundjesper businessanalyticsformanagerstakingbusinessintelligencebeyondreporting |